Seungtai Yoon

52.9k citations
16 papers · 1.5k indexed · 1 hit paper · h-index 10
Topics
Genomic variations and chromosomal abnormalities (10 papers)Genomics and Rare Diseases (7 papers)Genetic Associations and Epidemiology (4 papers)
Partner nations
United StatesItalyCanada

In The Last Decade

Seungtai Yoon

15 papers receiving 1.5k citations

Hit Papers

Rare De Novo and Transmitted Copy-Number Variation in Aut...20112026201620212011100200300400

Peers

Seungtai Yoon
Comparison fields: 5 of 83
  • Genetics 1.0k
  • Molecular Biology 821
  • Cognitive Neuroscience 433
  • Cancer Research 219
  • Plant Science 133
Replace Kimberly Chambert with:
Kimberly Chambert United States
Ivan Y. Iourov Russia
Svetlana G. Vorsanova Russia
Britt‐Marie Anderlid Sweden
Chaochao Cai United States
Susan Walker Canada
James Eberwine United States
Elisabetta Tabolacci Italy
Cheryl Shoubridge Australia
Marian Mellén Spain
Seungtai Yoon relative to Kimberly Chambert United States Kimberly Chambert's profile →
Citations per field
00.5×4.2×
Kimberly Chambert · 1×
Citations per year

Countries citing papers authored by Seungtai Yoon

Since Specialization
Citations

This map shows the geographic impact of Seungtai Yoon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Seungtai Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seungtai Yoon more than expected).

Fields of papers citing papers by Seungtai Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seungtai Yoon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Seungtai Yoon. The network helps show where Seungtai Yoon may publish in the future.

Co-authorship network of co-authors of Seungtai Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Seungtai Yoon. A scholar is included among the top collaborators of Seungtai Yoon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Seungtai Yoon. Seungtai Yoon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 3
3 19
4 242
5 8
6 36
7 104
8 34
9 37
10 1
11
Rare De Novo and Transmitted Copy-Number Variation in Autistic Spectrum Disordersbreakdown →
484
12 7
13 54
14 4
15 22
16 424

About Seungtai Yoon

Seungtai Yoon is a scholar working on Genetics, Cognitive Neuroscience and Clinical Biochemistry, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (10 papers), Genomics and Rare Diseases (7 papers) and Genetic Associations and Epidemiology (4 papers). The work is most often cited by research in Genetics (1.0k citations), Cognitive Neuroscience (433 citations) and Cancer Research (219 citations). Seungtai Yoon has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Kenny Ye, Vladimir Makarov, Zhenyu Xuan, Jonathan Sebat, Michael Wigler, Abba Μ. Krieger, Dan Levy, Ivan Iossifov, Michael Ronemus and Andreas Buja. Their work appears in journals such as Nature, Nucleic Acids Research and Neuron.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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